hi
thanks for your suggestion and reply. let me try it out.
With Warm Wishes and Regards
____
A. Abdul Rasheed, M.C.A., M.E., Ph.D.,
Assistant Professor,
Department of Computer Applications,
Valliammai Engineering College,
SRM Nagar, Kattankulathur - 603 203.
Kancheepuram District. Tamil Nadu. INDIA.
Contact: 91 - 44 - 27454784 Ext: 451 (O) / 996 23 000 55
Date: Sun, 12 Dec 2010 05:06:21 -0800
From: ml-node+3084270-787879815-204...@n4.nabble.com
To: prof...@live.com
Subject: Re: help requested
On Sat, Dec 11, 2010 at 05:11:37AM -0800, profaar wrote:
> hi
> thanks for your reply. there are around 20000 nodes in my dataset. will it
> work for conversion from edge list format to node list format? I am using R
> under Windows XP.
>
Under Linux, with 20'000 nodes and 10 random edges from each of them, this
took abuot 108 sec (CPU 2.4 GHz). The advantage of this solution is that
there may be further functions in the package graph (see also class?graphNEL),
which could be used in your application. If not, then the conversion itself
may be done more efficiently, for example
edges <- read.table(file=stdin())
1 2
1 3
1 4
1 5
2 3
2 4
3 2
4 1
4 3
4 5
5 2
5 4
out1 <- split(edges$V2, edges$V1)
out1
$`1`
[1] 2 3 4 5
$`2`
[1] 3 4
$`3`
[1] 2
$`4`
[1] 1 3 5
$`5`
[1] 2 4
For the example with 20'000 nodes and 10 random edges from each, this
took about 0.2 sec.
The output out1 is a list of vectors. This may be transformed to
a vector of strings, for example
out2 <- sapply(out1, paste, collapse=" ")
cbind(out2) # cbind() is only for a column output
out2
1 "2 3 4 5"
2 "3 4"
3 "2"
4 "1 3 5"
5 "2 4"
and to a text (with a possible file= argument)
cat(paste(names(out2), out2), sep="\n")
1 2 3 4 5
2 3 4
3 2
4 1 3 5
5 2 4
Petr Savicky.
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